Feature Selection by Mining Optimized Association Rules Based on Apriori Algorithm In this paper, the authors present a novel feature selection based on association rule mining using reduced dataset.

Association rules mining is one of the most popular data mining models. Minimum-support is used in association rules mining algorithms, like Apriori, FP-growth, eclat, etc.

As the onset of cancer recurrence is not explicitly recorded in the electronic health record (EHR), a high volume of manual chart review is required to detect the cancer recurrence. This study aims to ...

Confusion matrix for the set predicted by the rule-based algorithm in (A) the internal report data set (n = 354) and (B) the external report data set (n = 189). The true label refers to the records ...